Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
The experimental results reveal that our ontology-based topic model method outperforms a traditional topic model method.
Similar(59)
The experimental evaluation shows that our model selection method outperforms the other methods in terms of tp-rate and lower over-segmentation, especially for complex scenes.
Due to its more elaborate modeling, the eigenphone method outperforms both the eigenvoice and the MLLR method, when sufficient amounts of adaptation data are available.
It can be seen that, for the TDWZ coder, the motion-modeling method consistently outperforms the SE-B method.
Our empirical experiment indicates that the prediction model based on the feature set selected by the proposed method outperforms those models based on traditional feature selection methods in terms of prediction accuracy.
The experimental results show that the proposed method outperforms other model search methods significantly, especially for face recognition.
By learning the implicit vehicle model through a MSNN, our method outperforms a baseline blob detection method.
And not surprisingly, the multi-model QA methods outperformed single-model QA methods on template-based human targets whose model pool was often of good quality.
Our method outperforms the null model result by more than fifteen standard deviations in countries like Chile where the main topics of protests are related to education, and hence social media is a trustworthy indicator of activities within the student population.
In a numerical analysis, we show that our method outperforms other traditional models that are based on the independence assumption.
Further statistical tests also suggest that the P+25 method outperforms all but the P+13 method for model precision, Table 7.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com